The inpainting dataset for face recognition is based on the images from the IJB-C dataset [1]}.
The inpainting dataset contains 561 images of 95 subjects selected from IJB-C, for an average of 5.9 images per subject. We defined eight facial regions for evaluation: 1) cheeks and jaw, 2) mouth, 3) nose, 4) left eye, 5) right eye, 6) eyebrows, and 7) left face, 8) right face. Each image is inpainted for each of the eight regions forming a total of 4488 inpainted doppelgangers. From this set, we define 3648 triplets, such that each triplet is a combination of (probe, mate and inpainted doppelganger nonmate).
The XFR algorithms should not be evaluated on triplets for networks that cannot distinguish the original and inpainted identities. Hence, the only the triplets that contain discriminable identities are included for the network the algorithm is being evaluated on.
